کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
6971382 | 1453080 | 2014 | 8 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Targeting priority management areas for multiple pollutants from non-point sources
ترجمه فارسی عنوان
هدف قرار دادن زمینه های مدیریت اولویت برای آلاینده های چندگانه از منابع غیر انتزاعی
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کلمات کلیدی
منطقه مدیریت اولویت، آلاینده های چندگانه، ارزیابی چند معیاره، مدل آبخیزداری، آلودگی منابع بدون نقطه،
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی شیمی
بهداشت و امنیت شیمی
چکیده انگلیسی
The control of multiple pollutants from non-point sources is very difficult because their loss potentials are not consistent on the same spatial distributions. In this research, an innovative approach was established for multiple-pollutant priority management areas (MP-PMAs). In the new framework, the MP-PMA approach focused on the sensitive areas that contributed a variety of pollutants instead of a specific targeted pollutant by integrating a watershed model and a Pareto-based multi-criteria evaluation approach. Based on the results, multiple levels of MP-PMAs were established with respect to the corresponding requirements of clean water statutes. Compared to traditional separate strategies, the MP-PMA approach would lead to more cost-effective watershed management because those moderate-level PMAs for specific targeted pollutant might be the high-level MP-PMAs. With respect to spatial distribution, the MP-PMA approach provided more accurate target results for the high-level PMAs, especially among the headwater areas. From a scientific view, the MP-PMA approach provides an integrated suggestion for the placement and removal potentials of best management practices at the watershed scale.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Hazardous Materials - Volume 280, 15 September 2014, Pages 244-251
Journal: Journal of Hazardous Materials - Volume 280, 15 September 2014, Pages 244-251
نویسندگان
Lei Chen, Guoyuan Wei, Yucen Zhong, Guobo Wang, Zhenyao Shen,